Next.js TypeScript Clerk Stripe Vercel Setup .cursorrules prompt file
About .cursorrules prompt file
What you can build
Advanced Appointment Scheduling App: Develop an app using Next.js with AI-powered Google Calendar integration that enables users to schedule appointments seamlessly while handling cancellations and updates efficiently with real-time reminders and notifications.
Multi-Tenant Business Management Platform: Create a platform for service-oriented businesses that supports dynamic pricing models, client self-assessment, and subscription management using MongoDB's multi-tenant architecture.
Client-Detailer Interaction System: Build an application where detailers can manage services and bookings with a dedicated dashboard, while clients can schedule appointments and provide feedback through a robust rating and review system.
RBAC-secured E-commerce Platform: Utilize Clerk's RBAC for implementing authentication and authorization for an e-commerce platform where different roles (admin, vendor, customer) are defined, ensuring role-based access control.
AI-powered Analytics Dashboard: Develop an analytics dashboard using ShadCN-Graphs and Ollama for businesses to gain insights into client interactions, service efficiencies, and financial metrics.
Customizable Client Portal: Create a client portal with Tailwind CSS that allows individual theming and branding for personalized user experience, integrated with scalable Vercel hosting and Stripe for payment processing.
Real-time Customer Support Tool: Innovate a tool with Google Chat integration to offer real-time customer support within applications, combined with a comprehensive knowledge base for self-help and tutorials.
Self-Marketing and Referral Engine: Implement a self-marketing solution using QR codes specific to tenants that facilitate referrals and track conversions, benefiting businesses in enhancing their reach.
Feedback and Improvement Solution: Establish a feedback mechanism tool aimed at continuous improvement of products/services as well as capturing user input effectively for data-driven enhancements.
High-Concurrency Support System: Design a system architecture focused on scalability using Vercel hosting, MongoDB, and Convex for database support to handle over 10,000 concurrent users efficiently.
Image and Video-enhanced Client Assessment: Introduce enhancements to the client self-assessment feature to support multimedia uploads, providing more detailed information capture for service providers.
Comprehensive User Guide and Tutorial Platform: Develop a comprehensive knowledge base application that provides user guides, tutorials, and support documentation integrated seamlessly into businesses' digital ecosystem.
Automated Scheduling and Notification App: Create an app to automate appointment scheduling using Google Calendar integration, complemented by a robust notification system to keep users updated on their bookings and services.
Benefits
- Enforces strict TypeScript typing and disallows 'any' type for robust type safety.
- Integrates multi-layered features including Clerk RBAC, ShadCN-UI, and AI-powered services, enhancing both security and user experience.
- Leverages a scalable tech stack with Next.js, Vercel hosting, and MongoDB for efficient performance and sub-domain management.
Synopsis
Developers building a feature-rich vehicle detailing SaaS platform would benefit, implementing secure, scalable solutions using TypeScript, Next.js, and an array of integrations like Clerk, Stripe, and Vercel.
Overview of .cursorrules prompt
The .cursorrules file outlines the configuration and development rules for a Next.js application using TypeScript. It specifies the use of strict typing, Clerk for authentication with role-based access control, and Tailwind CSS for styling. It includes integrations with third-party services like Vercel for hosting, Stripe for payments, and Google Calendar for scheduling. Additional features include AI capabilities with Ollama, dynamic pricing models, analytics dashboards, a notification system, and self-marketing through QR codes. The file also emphasizes a high concurrency support infrastructure and optimized developer experience with tools like ESLint and Prettier.